Lead end-to-end AI engineering from design and development through testing and production deployment.Build LLM, RAG and Agentic AI solutions using Microsoft Foundry, Azure OpenAI and Azure AI Search.Develop RAG pipelines covering chunking, embeddings, vector/hybrid search, retrieval, reranking and grounding.Build AI agents, tool/function calling, structured outputs and enterprise API integrations.Lead code/design reviews, troubleshoot complex technical issues and ensure production readiness.Mentor AI engineers and convert architecture into executable engineering tasks.Work closely with AI Architects, Product Owners, business, data, cloud and security teams.Required Skills:

8+ years of software engineering/application development experience.3+ years of Azure/cloud-native development experience.Solid hands-on experience delivering GenAI/LLM,



RAG and Agentic AI solutions.Experience leading engineering teams and taking AI solutions from PoC to enterprise production.Must-Have Skills:

GenAI / LLMs, RAG and Agentic AIPython and REST APIsPrompt engineering and embeddingsVector/hybrid search and retrieval/rerankingFunction/tool calling and structured outputsLLM evaluation, grounding and hallucination mitigationGuardrails/content safety and context/token managementProduction-grade cloud application development and troubleshootingPreferred Skills:

Azure Machine Learning, multimodal AI, AI monitoring/observability, Responsible AI, CI/CD and Azure DevOpsRegardsTalent Acquisition Group – Strategic Recruitment Manager

📌 Ai Engineer With Azure (Winnipeg)
🏢 Themesoft
📍 Winnipeg